Detection of Social Interaction Using Mobile Phones via Device Free Passive Localisation

Timothy Dougan, K. Curran
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引用次数: 2

Abstract

Mobile devices which make use of 802.11 Wi-Fi are ubiquitous in modern society. At the same time, there is an unmet need in research and monitoring applications, and particularly in those relating to service and healthcare scenarios, to accurately detect the occurrence and hence frequency and duration of human interaction between subjects. Various sensor modalities exist that are able to perform localization of human subjects with useful degrees of accuracy, but in all cases they are either expensive, inflexible, or prone to influencing subject behaviour via the Hawthorne or observer effect. Given the ubiquity of mobile devices, it is the contention of this paper that a system which localizes human presence based on the human body's obstructive effects on RF transmissions through interpretation of perturbation of the Received Signal Strength values generated during transmission, may offer a system that is both inexpensive and flexible, while avoiding the need for direct subject participation, and thus reducing the impact of the Hawthorne effect.
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通过无设备被动定位检测手机社交互动
使用802.11 Wi-Fi的移动设备在现代社会中无处不在。与此同时,在研究和监测应用中,特别是在与服务和医疗保健方案有关的应用中,对准确检测受试者之间人类互动的发生以及频率和持续时间的需求尚未得到满足。存在各种传感器模式,能够以有用的精度对人类受试者进行定位,但在所有情况下,它们要么昂贵,要么不灵活,要么容易通过霍桑效应或观察者效应影响受试者的行为。鉴于移动设备的无处不在,本文的论点是,一个基于人体对射频传输的阻碍作用(通过解释传输过程中产生的接收信号强度值的扰动)来定位人类存在的系统,可能提供一个既便宜又灵活的系统,同时避免了对受试者直接参与的需要,从而减少了霍桑效应的影响。
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